Author

Meike Liersch

University of Cologne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Ana Carolina LeoteiD· 1 shared Andreas BeyeriD· 1 shared Janis Frederick Neumann· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Ana Carolina LeoteORCID

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1 paper

Recent·Most cited

Predicting murine age across tissues and cell types using single cell transcriptome data

Janis Frederick Neumann, Ana Carolina Leote, Meike Liersch, Andreas Beyer

This paper trains single-cell RNA-seq-based aging clocks to predict mouse age across tissues and cell types, achieving over 90% accuracy in independent tests.

bioRxiv · Oct 19, 2022 · PreprintBioinformatics